High-Caseworker Personalised Employment Model for Homeless Individuals

Download image · 1200 × 630 PNG

In Simple Words

Standard employment assistance is like a crowded emergency room where one doctor handles fifty patients at once, giving everyone the same brief checkup. Doubling the staff ratio acts like assigning a personal guide who stays by the person's side, helping them fix urgent shelter needs, tailor job searches, and navigate work placement step-by-step.

People experiencing homelessness in six Spanish cities

Traditional support
Group used for comparison
Personalised employment support
About 14 more days worked

Administrative records over six months after support. Low participation and survey response; full model tested.

See source →

Research question

Individuals experiencing homelessness face severe, multi-faceted barriers to labor market entry that generic public employment services fail to address due to high caseworker caseloads and rigid standardized procedures.

Participants

462 adults experiencing homelessness across 6 Spanish cities (224 treatment, 238 comparison).

Study Design

Randomised Controlled Trial (RCT) evaluating a 6–18 month personalized employment model by Hogar Sí with doubled caseworker-to-beneficiary ratios (1 technician per 20-25 participants vs 1 per 45-55).

Results

Participants assigned to personalized support worked approximately 14 additional days over a 6-month follow-up period according to administrative records (an 80% increase over comparison), were 8 to 10 percentage points more likely to report employment in surveys, and demonstrated marked improvements in housing stability, safety, and life satisfaction.

Takeaway

Lower caseworker caseloads to a 1:20 ratio for specialized caseworkers assisting unhoused job seekers to provide simultaneous flexible job search assistance, housing mediation, and post-employment retention support.

Source and citation

See source →

Read alongside the research

Plain-English glossary

Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.

Follow-up

Collecting more information about participants later in a study to see what has happened to them. The term can also mean the length of time researchers keep track of them.

ExampleResearchers interview the same workers three months after a programme ends. That later interview is a follow-up.

GET-IT glossary · Follow-up ↗Read more about follow-up →
Percentage points

The difference between two percentages.

ExampleA rise from 40% to 50% is 10 percentage points. Relative to the starting value, that is a 25% increase.

Office for National Statistics · Percentages ↗Read more about percentage points →
Randomized controlled trial

A study that uses chance, like drawing lots, to decide who receives each option being compared. Researchers compare the groups’ outcomes to estimate the effect of those options.

ExampleA lottery assigns volunteers to a training programme or a comparison group. Researchers then compare their outcomes.

GET-IT glossary · Randomized study ↗Read more about randomized controlled trial →

Related findings